The role of the intersection between two potential energy surfaces has been more generally emphasizing on than before.In the present system,the intersections between S1,T1 and S0 surfaces were optimized with the state...The role of the intersection between two potential energy surfaces has been more generally emphasizing on than before.In the present system,the intersections between S1,T1 and S0 surfaces were optimized with the state-averaged CAS(8,7)/6-31G method.The comparison of their optimized structures demonstrates that the intersection points of S1/S0 and S1/T1 locate in the same region,referred to as S1/T1/S0 point.The existence of S1/T1/S0 point and its high possibility of radiationless transition via intersystem crossing or internal conversion,would make the system have the most efficient funnel to generate the ground- and triplet-state products,which is consistent with the experimental facts.展开更多
Software development in automotive industry has bestowed greater comforts and conveniences to mankind. A remarkable progress in this field often faces a setback due to minor defects in the software. So there is recurr...Software development in automotive industry has bestowed greater comforts and conveniences to mankind. A remarkable progress in this field often faces a setback due to minor defects in the software. So there is recurring need for standardization and implementation of testing strategies. But the process of creation of test scripts to check if the software created complies with its specifications and requirements is both time- and resource-consuming. Generating a short but effective test suite usually requires a lot of manual work and expert knowledge. Patronizing research work in this field is the need of the hour. This paper solves the problem by using Model-Based Testing where test harness and evaluation are performed economically through automation. Simulink Design Verifier and Reactis are the tools used to carry out this purpose in Adaptive Front Light System. The resulting outputs obtained from Simulink Design Verifier and Reactis using Model-Based Testing prove that short test suites can be generated for the model where full model coverage can be achieved easily through automation. The outputs of these test cases when compared with the expected outputs confirm that the model developed is working as per the requirements.展开更多
文摘The role of the intersection between two potential energy surfaces has been more generally emphasizing on than before.In the present system,the intersections between S1,T1 and S0 surfaces were optimized with the state-averaged CAS(8,7)/6-31G method.The comparison of their optimized structures demonstrates that the intersection points of S1/S0 and S1/T1 locate in the same region,referred to as S1/T1/S0 point.The existence of S1/T1/S0 point and its high possibility of radiationless transition via intersystem crossing or internal conversion,would make the system have the most efficient funnel to generate the ground- and triplet-state products,which is consistent with the experimental facts.
文摘Software development in automotive industry has bestowed greater comforts and conveniences to mankind. A remarkable progress in this field often faces a setback due to minor defects in the software. So there is recurring need for standardization and implementation of testing strategies. But the process of creation of test scripts to check if the software created complies with its specifications and requirements is both time- and resource-consuming. Generating a short but effective test suite usually requires a lot of manual work and expert knowledge. Patronizing research work in this field is the need of the hour. This paper solves the problem by using Model-Based Testing where test harness and evaluation are performed economically through automation. Simulink Design Verifier and Reactis are the tools used to carry out this purpose in Adaptive Front Light System. The resulting outputs obtained from Simulink Design Verifier and Reactis using Model-Based Testing prove that short test suites can be generated for the model where full model coverage can be achieved easily through automation. The outputs of these test cases when compared with the expected outputs confirm that the model developed is working as per the requirements.
